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Linking watershed geomorphic characteristics to sediment yield: Evidence from the Loess Plateau of China

机译:将流域地貌特征与沉积物产量联系起来:来自中国黄土高原的证据

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摘要

The geomorphic characteristics of a watershed affect the energy fluxes, mass movement, and water and sediment dispersion within the watershed. This paper examines how watershed complexity affects sediment yield in terms of rainfall and geomorphic characteristics. The geomorphic characteristics include primary, secondary and compound topographic attributes; watershed shape characteristics; relief parameters; and stream network characteristics. Because of the high co-dependence among these characteristics, partial least-squares regression (PLSR) was used to identify the relationships between the sediment yield and 29 selected watershed characteristics. The PLSR combines the features of a principal component analysis and multiple linear regression and is a robust multivariate regression method that is appropriate when the predictors exhibit multiple co-linearity. The first-order factors were determined by calculating the variable importance for the projection (VIP). Those variables with high VIP values are the most relevant for explaining the dependent variable. The results showed that the watershed shape and relief parameters have large influences on the sediment yield. The VIP values revealed that the sediment yield is primarily controlled by the plan curvature (VIP = 1.87) and the highest order channel length (VIP = 1.53), followed by the hypsometric integral (VIP = 1.49), rainfall (VIP = 1.44), basin relief (VIP = 1.19), slope (VIP = 1.15), sediment transport capacity index (VIP = 1.13), length ratio (VIP = 1.06), profile curvature (VIP = 1.01) and divide average relief (VIP = 1.00). This paper quantified the effects and relative importance of different geomorphic attributes on sediment yield. The insight provided by these results can be used in the selection of appropriate geomorphic variables for watershed erosion and hydrological models. Thus, this study is intended to elucidate the internal dynamics of sediment transport and storage in a watershed and provide a guide for watershed management. (C) 2015 Elsevier B.V. All rights reserved.
机译:流域的地貌特征影响能量流,质量运动以及流域内水和沉积物的分散。本文从降雨和地貌特征的角度研究了流域复杂性如何影响沉积物产量。地貌特征包括主要,次要和复合地貌属性。分水岭形状特征;浮雕参数;和流网络特征。由于这些特征之间的高度相关性,因此使用偏最小二乘回归(PLSR)来识别沉积物产量与29个选定的流域特征之间的关系。 PLSR结合了主成分分析和多元线性回归的特征,是一种鲁棒的多元回归方法,适用于预测变量表现出多重共线性的情况。一阶因子是通过计算预测的变量重要性(VIP)来确定的。 VIP值高的那些变量与解释因变量最相关。结果表明,流域形状和浮雕参数对产沙量影响较大。 VIP值显示,沉积物产量主要受平面曲率(VIP = 1.87)和最高阶通道长度(VIP = 1.53)控制,其次是湿度计积分(VIP = 1.49),降雨(VIP = 1.44),盆地起伏(VIP = 1.19),坡度(VIP = 1.15),泥沙输送能力指数(VIP = 1.13),长径比(VIP = 1.06),剖面曲率(VIP = 1.01)和平均除水(VIP = 1.00)。本文量化了不同地貌属性对沉积物产量的影响和相对重要性。这些结果提供的见解可用于为流域侵蚀和水文模型选择合适的地貌变量。因此,本研究旨在阐明流域内沉积物运输和存储的内部动态,并为流域管理提供指导。 (C)2015 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Geomorphology》 |2015年第1期|19-27|共9页
  • 作者单位

    Chinese Acad Sci, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling 712100, Shaanxi Provinc, Peoples R China|MWR, Yangling 712100, Shaanxi Provinc, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling 712100, Shaanxi Provinc, Peoples R China|MWR, Yangling 712100, Shaanxi Provinc, Peoples R China|Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China;

    Chinese Acad Sci, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling 712100, Shaanxi Provinc, Peoples R China|MWR, Yangling 712100, Shaanxi Provinc, Peoples R China;

    Chinese Acad Sci, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling 712100, Shaanxi Provinc, Peoples R China|MWR, Yangling 712100, Shaanxi Provinc, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    soil erosion; Sediment yield; Geomorphic characteristics; Partial least-squares regression (PLSR);

    机译:土壤侵蚀产沙地貌特征偏最小二乘回归;

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